rgml0
Random Graphical Model Estimation under L0 Penalty
Provides functions for estimating sparse precision matrices using a random graphical model framework under an L0-style penalty. The method evaluates candidate theta values and returns both continuous and binary precision matrices representing inferred network structures.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.1 |
rolling linux/jammy R-4.5 | rgml0_0.0.1.tar.gz |
12.2 KiB |
0.0.1 |
rolling linux/noble R-4.5 | rgml0_0.0.1.tar.gz |
12.1 KiB |
0.0.1 |
rolling source/ R- | rgml0_0.0.1.tar.gz |
2.4 KiB |
0.0.1 |
latest linux/jammy R-4.5 | rgml0_0.0.1.tar.gz |
12.2 KiB |
0.0.1 |
latest linux/noble R-4.5 | rgml0_0.0.1.tar.gz |
12.1 KiB |
0.0.1 |
latest source/ R- | rgml0_0.0.1.tar.gz |
2.4 KiB |
0.0.1 |
2026-04-23 source/ R- | rgml0_0.0.1.tar.gz |
0 B |